7 дней назад
Staff Software Engineer, Workforce Solutions (AI)
202 500 - 274 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Workforce Solutions (AI): Building scalable, secure, cloud-native HCM and team management applications with an accent on full-stack architecture, AI-powered capabilities, and technical leadership. Focus on designing APIs and data models, taking AI features to production, and solving complex reliability, security, performance, and observability challenges.
Location: New York, New York, United States
Base pay: $202,500–$274,000 per year
Company
is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Drive technical initiatives across API, data, backend, and frontend layers.
- Architect and build scalable, secure, cloud-native applications and services for HCM and team management.
- Spend approximately 70% of the role coding while setting technical direction and leading a small engineering team.
- Design and launch AI-powered product and engineering capabilities, then evaluate their production impact.
- Lead requirements gathering, technical design, project planning, testing, design reviews, and cross-functional delivery.
- Champion automated testing, CI/CD, observability, performance, security, accessibility, internationalization, and end-to-end quality.
Requirements
- 8+ years of experience designing and developing online SaaS applications with full-stack expertise.
- Strong backend experience with Java and/or Kotlin and Spring Boot, plus frontend experience with JavaScript, TypeScript, and React.
- 5+ years of building and consuming web APIs, including REST and ideally gRPC and/or GraphQL.
- Deep knowledge of software architecture and the full software development lifecycle, including automated testing, TDD, and CI/CD.
- Strong technical leadership, communication, design review, mentoring, and Agile/Scrum experience.
- BS/MS in Computer Science or equivalent practical experience.
Nice to have
- AWS cloud-native development with microservices, containers, and Kubernetes.
- Kafka, Elasticsearch, and SQL/NoSQL database design experience.
- Hands-on AI or GenAI experience, including LLM prompting, retrieval, model integration, and production monitoring.
- Production observability and instrumentation experience with metrics, logging, and tracing.
- Experience building and growing strong engineering teams and connecting technical decisions to business outcomes.
Culture & Benefits
- Fast-paced engineering environment focused on workforce tools and continuous innovation.
- Opportunities to work with Java, Spring Boot, React, TypeScript, AWS, Kubernetes, and AI technologies.
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits under applicable plans.
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